Setup for running a Flink application on EMR

bootstrap.json

[
  {
    "Name": "Ship Flink runtime to cluster",
    "Path": "s3://<your_bucket>/flink/ship_flink_runtime.sh"
  },
  {
    "Name": "Ship application to cluster",
    "Path": "s3://<your_bucket>/flink/ship_app.sh"
  }
]

configurations.json

[
  {
    "Classification": "hadoop-env", 
    "Configurations": [
      {
        "Classification": "export", 
        "Configurations": [], 
        "Properties": {
          "JAVA_HOME": "/usr/lib/jvm/java-1.8.0",
          "HADOOP_CLASSPATH": "$HADOOP_CLASSPATH:/usr/share/aws/emr/s3-dist-cp/lib/"
        }
      }
    ], 
    "Properties": {}
  }
]

instance_groups.json

[{
    "InstanceGroupType":"MASTER",
    "InstanceCount":1,
    "InstanceType":"m1.large"
},
{
    "InstanceGroupType":"CORE",
    "InstanceCount":1,
    "InstanceType":"m1.large"
}]

run_flink.json

[
  {
    "Type": "CUSTOM_JAR",
    "Name": "Start Flink",
    "ActionOnFailure": "CONTINUE",
    "Jar": "s3://elasticmapreduce/libs/script-runner/script-runner.jar",
    "Args": ["s3://wp-data-west-2/flink/start_flink.sh"]
  },
  {
    "Type": "CUSTOM_JAR",
    "Name": "Run Flink",
    "ActionOnFailure": "CONTINUE",
    "Jar": "s3://elasticmapreduce/libs/script-runner/script-runner.jar",
    "Args": ["s3://wp-data-west-2/flink/run_flink.sh"]
  }
]

run_flink_app.sh

#!/bin/bash
set -e

HADOOP_CONF_DIR=/etc/hadoop/conf /home/hadoop/flink-1.0.0/bin/flink run -p 2 /home/hadoop/<your_app>.jar

ship_app.sh

#!/bin/bash
cd /home/hadoop
aws s3 cp s3://<your_bucket>/flink/<your_app>.jar .

ship_flink_runtime.sh

#!/bin/bash
cd /home/hadoop

aws s3 cp s3://<your_bucket>/flink/flink-1.0.0-bin-hadoop2-scala_2.11.tgz .
tar xzf flink-1.0.0-bin-hadoop2-scala_2.11.tgz
rm flink-1.0.0-bin-hadoop2-scala_2.11.tgz

## In case you need to set JVM parameters for your app
#printf "env.java.opts: \"-D<set_your_parameter>"\n" >>  /home/hadoop/flink-1.0.0/conf/flink-conf.yaml
## In case you need envirnomet variables on your executors
#printf "yarn.taskmanager.env.<name>: <value>\n" >>  /home/hadoop/flink-1.0.0/conf/flink-conf.yaml

# Had to set that to prevent bootstrap failures doe to timeouts
printf "akka.ask.timeout: 200 s\n" >>  /home/hadoop/flink-1.0.0/conf/flink-conf.yaml

start_cluster.sh

#!/bin/bash

#upload bootstrap scripts
aws s3 cp ship_flink_runtime.sh s3://<your_bucket>/flink/ship_flink_runtime.sh
aws s3 cp ship_app.sh s3://<your_bucket>/flink/ship_app.sh

#upload start flink sript
aws s3 cp start_flink.sh s3://wp-data-west-2/flink/start_flink.sh
aws s3 cp run_flink.sh s3://wp-data-west-2/flink/run_flink.sh

aws emr create-cluster --release-label emr-4.5.0 --configurations file://./configurations.json --use-default-roles --instance-groups file://./instance_groups.json --name "my-flink-app" application="my-flink-app" --applications Name=Hadoop --enable-debugging --log-uri s3://<log_bucket>/elasticmapreduce/ --ec2-attributes KeyName=<AWS_key> --bootstrap-actions file://./bootstrap.json --steps file://./run_flink.json "$@"

start_flink.sh

#!/bin/bash
set -e

# This is a hack that makes all EMR-specific stuff available to Flink TMs. 
# There should be a way to pass it through YARN in classpath, but I didn't find it yet.
cp /usr/share/aws/emr/emrfs/lib/* /home/hadoop/flink-1.0.0/lib/
cp /usr/share/aws/aws-java-sdk/* /home/hadoop/flink-1.0.0/lib/
cp /usr/share/aws/emr/s3-dist-cp/lib/s3-dist-cp-2.2.0.jar /home/hadoop/flink-1.0.0/lib/

HADOOP_CONF_DIR=/etc/hadoop/conf nohup /home/hadoop/flink-1.0.0/bin/yarn-session.sh -n 2 -jm 4096 -tm 4096 >> /home/hadoop/flink-1.0.0/log/yarn-session.log 2>&1 &

while [ -z "$(grep 'Flink JobManager is now running' /home/hadoop/flink-1.0.0/log/yarn-session.log)" ]; do
  printf .
  sleep 1
done

Is there a way to dynamically change parallelism when autoscaling is turned on in EMR?

Was there a reason not to set akka.ask.timeout in the EMR configurations.json file?